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Dany LauzonDepartment of Civil, Geological and Mining Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Hoerning, S., Lauzon, D., & Bárdossy, A. (2025, April). Spectral methods for non-linear co-regionalization [Abstract]. EGU General Assembly 2025, Vienna, Austria (1 page). External link
Lauzon, D., & Hörning, S. (2025). Efficient computation on large regular grids of higher-order spatial statistics via fast fourier transform. Computers & Geosciences, 105878 (38 pages). External link
Lauzon, D., Hörning, S., & Bárdossy, A. (2025, April). A Novel Framework for Stochastic Simulation of Multivariate Non-Gaussian Random Fields in Environmental and Geological Studies [Abstract]. EGU General Assembly 2025, Vienna, Austria (2 pages). External link
Lauzon, D., & Gloaguen, E. (2024). Quantifying uncertainty and improving prospectivity mapping in mineral belts using transfer learning and Random Forest: A case study of copper mineralization in the Superior Craton Province, Quebec, Canada. Ore Geology Reviews, 166, 105918 (16 pages). Available
Lauzon, D. (2024, June). Deep neural networks in surrogate hydrogeological modeling : an application for transient groundwater flow combined with a geostatistical spectral algorithm for inverse problem-solving [Abstract]. 15th International Conference on Geostatistics for Environmental Applications (GeoEnv 2024), Chania, Greece. External link
Lauzon, D. (2024). A U-Net architecture as a surrogate model combined with a geostatistical spectral algorithm for transient groundwater flow inverse problems. Advances in Water Resources, 189, 104726 (14 pages). External link
Lauzon, D. (2022). Développement d'algorithmes pour le calage de modèles géologiques par méthodes géostatistiques discrètes et spectrales [Ph.D. thesis, Polytechnique Montréal]. Available
Lauzon, D., & Marcotte, D. (2022, June). On a constructive spectral method for conditioning pluriGaussian simulations to boreholes observations and indirect data. Application to aquifer models [Poster]. 14th International Conference on Geostatistics for Environmental Applications (GeoEnv 2022)#, Parma, Italia (1 page). External link
Lauzon, D., & Marcotte, D. (2022). Statistical comparison of variogram-based inversion methods for to indirect data. Computers & Geosciences, 160, 105032 (15 pages). External link
Lauzon, D., & Marcotte, D. (2020). Calibration of random fields by a sequential spectral turning bands method. Computers and Geosciences, 135, 13 pages. External link
Lauzon, D., & Marcotte, D. (2020). The sequential spectral turning band simulator as an alternative to Gibbs sampler in large truncated- or pluri- Gaussian simulations. Stochastic Environmental Research and Risk Assessment, 34(11), 1939-1951. External link
Lauzon, D., & Marcotte, D. (2019). Calibration of random fields by FFTMA-SA. Computers & Geosciences, 127, 99-110. External link
Straubhaar, J., Lauzon, D., & Renard, P. (2024, July). Graph recurrent neural networks for stochastic simulation of Karst network topology and properties [Abstract]. 15th International Conference on Geostatistics for Environmental Applications (GeoEnv 2024), Chania, Greece. Unavailable
